Petition topics

What were petitions about?

Sharon Howard

Quarter Sessions petitions topics and themes

The Power of Petitioning project team manually assigned broad topics to each of the transcribed collections, as well as a number of other collections for which we had rich enough metadata. I’ll focus for now on Quarter Sessions because they have their own set of topics and the project tried (as far as possible) to apply them consistently to enable comparison of the counties. [I’ll try to do a later update for the State Papers and House of Lords collections, but the topics for these are quite different.]

There is a brief analysis of topics for each county in the introductions to the British History Online editions, so I’ll focus more on an overview and comparisons here.

The data

The counties

The topics


The chronological distribution of petitions in several counties is very lumpy, and it’s hard to be sure in some cases whether this reflects actual petitioning trends, random losses or other less random factors, and whether the surviving petitions are representative. Derbyshire is particularly difficult (IIRC, more petitions were excluded than included). Westminster is also problematic; 44 petitions couldn’t be dated to within a single decade (though all were within the period 1620-1640), and these were not evenly distributed across topics.

Two counties, Cheshire and Staffordshire, have been sampled by the simple method of taking one year in ten. This is unlikely to be a significant issue for overviews and comparisons of gender. But it’s much more awkward for any attempt at chronological analysis. I’ve ignored that here and simply counted by decade. But I’ll probably need to think much harder about this before long.

Overview of topics

Which were the most popular topics of QS petitions?

horizontal bar chart of petition topics in the Power of Petitioning Quarter Sessions collections, in descending order of frequency; litigation and poor relief are the most popular topics by some distance.

Comparing counties: three views

a bar chart

The colour coding here is not strictly essential but I find it helpful for comparing the different rankings of topics. It can be seen that the counties cluster into two groups with either litigation or poor relief as the most frequent topic of petitioning. Cheshire is unusual for the level of cottage petitions. Westminster has no cottage petitions because cities were exempted from the relevant legislation; more interesting is the frequency of petitioning about employment and infrequency of poor relief petitions.

horizontal bar chart of QS petition topics, faceted by county; litigation is top topic in Ches, Staffs and Westmr, poor relief top in Derbyshire, Herts and Worcs.

another bar chart

But switching round the comparisons. (For convenience, “other” is excluded this time.) Suggests that within most topics there aren’t massive differences between counties; notable exceptions = Westminster/employment and Derbyshire/poor relief.

Faceted bar chart of QS petition topics, comparing topic percentage for each county.

mosaic plot

These are less common than bar charts, so a bit of explanation:

So you can compare the relative size of each topic for each county visually. But the colour coding takes things further.

(The statistical measure is Pearson’s Chi-squared Test.)

This method can produce some surprises. Eg, litigation in Cheshire looks big, and it is the largest single county-topic combination with 177 petitions. But it turns out that’s slightly deceptive, because Cheshire just has so many petitions. (In the second bar chart, you can also see that two counties have a higher % of litigation petitions.) It does, however, confirm the impression that cottage petitions are unusually popular in Cheshire.

mosaic plot of QS petition topics by county; highlighting significat over- or under-representation of topics.

Change over time

NB earlier caveats about the problems caused by missing dates and by sampling. This section should be considered very provisional.

stacked bar chart

This is a popular type of graph… but I think there are far too many categories for it to be really effective, even after dropping the smallest topics and “other”.

stacked bar chart of QS petition topics per decade; cluttered and hard to make much sense of what is going on.

faceted bar chart

Faceting (or “small multiples”) can be a more effective way of showing complex data. The y axis is scaled for each facet, enabling direct comparison of trends. Having said that, this is a pretty mixed picture!

faceted bar chart of QS petition topics per decade; a bit easier to make comparisons than with a stacked bar chart.


(white tiles represent 0s)

This heatmap is an example of how stripping away subtlety can be useful to draw attention to particularly exceptional patterns. In this case, the particularly “hot” cluster of petitions for military pensions in the 1650s dramatically highlights one legacy of the Civil Wars. But it also indicates that a number of other topics also peak around the middle of the 17th century. The heatmap also highlights the sparsity of petitions in many topics after 1700, except for the new topics of dissenting worship and imprisoned debtors.

heatmap of QS petition topics per decade, using percentages of topic rather than numbers; useful to draw attention to the most exceptional topic-decades.


(“na” = collective petitions and a handful of unknowns)

stacked bar chart

But this time a “proportional” stacked chart to show % instead of numbers. Again, there are probably too many categories for this to be really effective, even though I’ve reduced the topics again. You can pick out a few things - eg female/poor relief, female/paternity; male/officeholding; na/rates - but it’s hard to get a good idea of their relative significance. On top of that it gives no sense at all of the big differences in size between the gender groups.

proportional stacked bar chart of QS petition topics by gender.


The mosaic highlights the most important relationships more clearly.

Eg, female petitioners are strongly positively associated with poor relief and paternity, while the negative associations with alehouse, cottage, officeholding are somewhat weaker. The strongest association for male petitions is the negative one with paternity petitions. For collective petitions it’s all about rates (and it is common for “inhabitants” of a township or parish to group together to complain about taxes), but they’re less likely to be litigation-related.

Conversely, eg, although you can see in the bar chart a lower female than male % for military petitions, the difference is too small to register as statistically significant.

mosaic plot of QS petition topics by gender; notable features include: female/paternity and poor relief petitions are over-represented, male paternity under-represented.


The strong association between mixed gender petitions and litigation stands out even more strongly here than in the mosaic. It’s an intriguing one, even allowing for the small size of the group.

heatmap of QS petition topics by gender, using percentage of gender rather than numbers. Intriguing hotspot for mixed gender/litigation petitions.